Senior Data Engineer - West Yorkshire - £80k
Senior Data Engineer building a modern data platform on Microsoft Fabric: designing ETL/ELT pipelines (Dataflow Gen2, Fabric Notebooks), Lakehouse/Medallion architecture with Delta Lake and Spark, plus semantic models, CI/CD and data quality. Hybrid role, 2 days onsite in West Yorkshire.
- Compensation
- £70K–£80K / yr
- Location
- United Kingdom
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong commercial experience with Microsoft Fabric
- Hands-on experience with Dataflow Gen2, Fabric Notebooks and Lakehouse architecture
- Strong SQL and Python skills
- Experience with Spark and Spark SQL
- Proven experience designing scalable ETL and ELT pipelines
- Data Lake and Delta Lake experience
- Experience integrating data from multiple structured and unstructured sources
- Good understanding of CI/CD, DevOps and modern data engineering practices
- Able to work onsite in West Yorkshire 2 days per week
Nice to have
- Experience with Semantic Models, DAX and Kimball modelling
- Microsoft Fabric certifications such as DP-700
- Data governance experience
Full description
Senior Data Engineer Microsoft Fabric
Location: West Yorkshire
Working pattern: Hybrid, 2 days per week onsite
Salary: £70-80k
We are looking for a Senior Data Engineer with strong hands on Microsoft Fabric experience to help design and build a modern data platform supporting analytics, AI and operational use cases.
Microsoft Fabric is a key requirement for this role, so we are looking for someone who has used the platform in a genuine delivery environment rather than someone with only limited exposure.
Key responsibilities
Design and build end to end ETL and ELT solutions using Microsoft Fabric
Build scalable data pipelines using Dataflow Gen2 and Fabric Notebooks
Develop and maintain Lakehouse solutions using Medallion architecture
Work with SQL, Python, Spark SQL and Delta Lake
Integrate data from APIs, databases, CRM, ERP and third party platforms
Support both batch and Real Time data processing
Develop semantic models and work with Star Schema and Kimball modelling
Implement CI/CD and automated deployment of data solutions
Build monitoring, data quality, lineage and observability into data pipelines
Work closely with Data Architects, BI teams and wider business stakeholders
Essential experience
Strong commercial experience with Microsoft Fabric
Hands on experience with Dataflow Gen2, Fabric Notebooks and Lakehouse architecture
Strong SQL and Python skills
Experience with Spark and Spark SQL
Proven experience designing scalable ETL and ELT pipelines
Data Lake and Delta Lake experience
Experience integrating data from multiple structured and unstructured sources
Good understanding of CI/CD, DevOps and modern data engineering practices
Able to work onsite in West Yorkshire 2 days per week
Experience with Semantic Models, DAX, Kimball modelling, Microsoft Fabric certifications such as DP 700, and data governance would also be beneficial.